Chris Coons US Inactive
CHRIS COONS FOR DELAWARE
Sign the petition now
Lower the cost of prescription drugs
Ad copy
Everybody knows the price of prescription drugs is out of control, yet Mitch McConnell and Senate Republicans refuse to act. Senator Chris Coons is fighting to lower the price of prescription drugs, but he needs your help to build support. Join Chris Coons in calling on Mitch McConnell to pass legislation to lower the cost of prescription drugs >> https://bit.ly/3bSmJZ2
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 46.0/100 |
| Spend / Reach / Long. / Eff. | 34.7 · 70.7 · 17.1 · 61.5 |
| Spend range | USD 1,000–1,499 |
| Impressions | 50,000 – 59,999 |
| CPM (≈ $/1k impr) | USD 22.72 |
| Est. audience size | — |
| Days live | 63 (2020-02-20 → 2020-04-23) |
| Created | 2020-02-19 |
| Creative variants | 1 body · 1 headline |
| Platforms | |
| Languages | en |
| Candidate | DE — Chris Coons |
| Surfaced by | “senate:Chris Coons” |
🧠 AI analysis
| Issue | healthcare |
| Framing | attack opponent |
| Message type | list building survey |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | opponent |
| Symbols | none |
| Call to action | sign petition |
| Standout element | High-contrast dark red duotone photo of McConnell looming large on the left half of the image, making him appear menacing |
| Tactic | Classic pressure-campaign tactic using an unflattering image of the opponent to drive petition signatures and list-building, channeling voter frustration into a direct action against McConnell rather than promoting Coons himself. |
Where it ran (delivery by region)
| California | 11.7% |
| Florida | 7.2% |
| New York | 6.6% |
| Texas | 6.0% |
| Pennsylvania | 4.2% |
| Illinois | 4.1% |
| Michigan | 4.0% |
Who saw it (delivery)
| 18-24 · unknown | 0.0% |
| 35-44 · female | 2.0% |
| 55-64 · unknown | 0.2% |
| 18-24 · male | 0.2% |
| 35-44 · unknown | 0.0% |
| 18-24 · female | 0.5% |
| 25-34 · male | 0.7% |
| 65+ · unknown | 0.6% |
| 45-54 · female | 4.8% |
| 65+ · male | 18.0% |
| 45-54 · male | 2.8% |
| 35-44 · male | 1.2% |
| 55-64 · female | 16.4% |
| 25-34 · female | 1.2% |
| 45-54 · unknown | 0.1% |
| 65+ · female | 44.3% |
| 55-64 · male | 6.9% |
| 25-34 · unknown | 0.0% |
